Sort by
Refine Your Search
-
, multiple machine‑learning algorithms, MOFA and multi‑omics pathway analysis. · Strong background in experimental design, quantitative data analysis, and scientific writing, evidenced by first-author
-
related fields. Prior lab experience is preferred but not required. Candidates with research experience in machine learning and artificial neural networks, are strongly encouraged to apply. The candidate
-
plus Experience applying machine learning, artificial intelligence, and large language models to research a plus The anticipated start date is September 1, 2026. The postdoctoral
-
, and Economics. We are particularly interested in candidates with a research focus on algorithms, blockchains and cryptocurrency, causal inference, game theory, learning, machine learning, market
-
timely and professional deliverables Experience with causal inference, machine learning, and artificial intelligence is desirable Experience with clinical, EHR, or biobank data analyses is desirable
-
integrative single-cell and spatial transcriptomic profiling of clinical specimens. These analyses, coupled with advanced machine learning, allow us to construct detailed cellular atlases of prostate